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文件名称:Machine Learning: Step-by-Step Guide To Implement Algorithms with Python
文件大小:1.62MB
文件格式:PDF
更新时间:2022-01-27 13:48:46
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Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python
By 作者: Rudolph Russell
ISBN-10 书号: 1719528403
ISBN-13 书号: 9781719528405
出版日期: 2018-05-22
pages 页数: 106
This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning.
Benefits of reading this book that you’re not going to find anywhere else:
Introduction to Machine Learning
Classification
How to train a Model
Different Models Combinations
CHAPTER1
INTRODUCTION TO MACHINE LEARNING
Theory
What is machine learning?
Why machine learning?
When should you use machine learning?
Types of Systems of Machine Learning
Supervised and unsupervised learning
Reinforcement Learning
Batch Learning
Online Learning
Instance based learning
Model-based learning
Bad and Insufficient Quantity of Training Data
Poor-Quality Data
Irrelevant Features
Testing
Overfitting the Data
Underfitting the Data
EXERCISES
SUMMARY
REFERENCES
CHAPTER2
CLASSIFICATION
Installation
The MNIST
Measures of Performance
Confusion Matrix
Recall
Recall Tradeoff
ROC
Multi-class Classification
Training a Random Forest Classifier
Error Analysis
Multi-label Classifications
Multi-output Classification
EXERCISES
REFERENCES
CHAPTER3
HOW TO TRAIN A MODEL
Linear Regression
Computational Complexity
Gradient Descent
Batch Gradient Descent
Stochastic Gradient Descent
Mini-Batch Gradient Descent
Polynomial Regression
Learning Curves
Regularized Linear Models
EXERCISES
SUMMARY
REFERENCES
Chapter4
Different models combinations